About arenaflex
Welcome to arenaflex, where imagination meets innovation! We are a global leader in entertainment and media, dedicated to creating magical experiences that captivate audiences worldwide. Our team of brilliant minds works tirelessly to push the boundaries of what's possible in content creation, distribution, and audience engagement. At arenaflex, we believe that data is the backbone of every extraordinary story we tell and every decision we make.
Join our Research, Insights, and Experiences division within the Data Governance and Operations team, where you'll have the opportunity to transform raw data into actionable insights that drive business decisions across our vast television portfolio. We're not just looking for data scientists – we're searching for storytellers who can speak the language of numbers and translate complex analytics into compelling narratives that shape the future of entertainment.
Position Overview
Are you ready to harness the power of data to predict viewer behavior, optimize advertising revenue, and shape the future of digital entertainment? As a Senior Data Scientist at arenaflex, you will be at the forefront of developing and enhancing predictive models that drive strategic decisions across our television and streaming platforms. This role offers the unique opportunity to work with massive datasets, cutting-edge machine learning techniques, and cross-functional teams to deliver unified insights on audience engagement.
You'll be responsible for building predictive models that support viewership forecasting in collaboration with our addressable pricing teams within Research, Insights, and Estimation. Your work will directly impact advertising sales revenue and contribute to the digital P&L for our direct-to-consumer initiatives. If you're a self-starter who loves diving into data with creativity and efficiency, thrives on end-to-end project ownership, and excels at building relationships across diverse stakeholder groups, this is your chance to make an indelible mark on the entertainment industry.
Key Responsibilities
Data Quality and Integrity
- Interpret complex datasets: Transform raw data from multiple sources into meaningful and actionable insights that inform data-driven decision-making processes
- Maintain data pipelines: Oversee automated ETL pipelines to ensure seamless data flow and processing efficiency
- Ensure data accuracy: Serve as the expert on internal and external data sources, guaranteeing that data maintains the highest standards of quality and reliability
- Create trusted data sources: Establish and maintain a single source of truth for all analytical work, identifying anomalies and developing creative workarounds when necessary
- Data governance: Implement best practices for data management, metadata documentation, and lineage tracking
Statistical Modeling and Machine Learning
- Develop predictive models: Design and implement new predictive models using advanced statistical and machine learning techniques to forecast and project customer engagement across arenaflex platforms
- Multi-KPI analysis: Build models that predict engagement across multiple key performance indicators
- Driver analysis: Dive deep into drivers of change when interpreting forecasts and proactively drive improvements to model accuracy
- Model optimization: Continuously refine and enhance forecast models to improve prediction accuracy and business impact
- Innovation in modeling: Explore emerging statistical methodologies and machine learning frameworks to stay at the cutting edge of analytical capabilities
Business Intelligence and Visualization
- Create compelling visualizations: Build dashboards and interfaces that communicate complex results to business stakeholders in an accessible, maintainable, and automated manner
- Pattern recognition: Analyze data to identify hidden patterns, uncover opportunities, and develop a common understanding of digital media consumption trends
- Stakeholder reporting: Deliver regular insights and reports that drive strategic decision-making across the organization
- Self-service analytics: Develop tools and resources that enable business partners to access and interpret data independently
Leadership and Collaboration
- Partner with business teams: Work closely with addressable pricing teams within Research, Insights, and Estimation to identify opportunities and deliver value
- Cross-functional collaboration: Partner with other data teams to improve capabilities around data modeling, testing platforms, and data visualization
- Mentorship: Serve as a resource for colleagues with less experience, sharing knowledge and fostering professional growth
- Knowledge sharing: Contribute to an "Open Source" learning environment where sharing, documenting, teaching, and collaborating with others is the culture
Process Improvement and Innovation
- Drive innovation: Explore new statistical methods and brainstorm ways to enhance the current forecasting and reporting infrastructure
- Process optimization: Identify opportunities to make existing processes more efficient and effective
- Agile methodology: Apply Agile principles through participation in standups, sprint planning, writing business requirements documents, and retrospectives
- Continuous improvement: Stay current with industry trends and best practices in data science and analytics
Required Qualifications
Education and Experience
- Minimum of 2+ years of relevant experience in data science, analytics, or a related field
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field (advanced degree preferred)
Technical Skills
- Advanced SQL proficiency: Expert-level skills in writing complex queries, optimizing performance, and working with large relational databases
- Python expertise: Strong proficiency in Python with experience using libraries such as pandas, numpy, and scikit-learn for data analysis and machine learning
- Cloud infrastructure experience: Hands-on experience with ETL, data pipeline management, and cloud platforms for managing large volumes of data (e.g., AWS, PySpark, Snowflake, Airflow, Databricks)
- Data visualization: Experience with visualization tools such as Tableau for creating interactive dashboards and reports
- Predictive modeling: Demonstrated experience designing and implementing predictive models including generalized linear models, time series analysis, decision trees, and other machine learning algorithms
- Version control: Experience working with Git for code management and collaborative development
Professional Competencies
- Ownership mentality: Proven sense of responsibility and effective project ownership – you have a knack for investigating complex issues with smart solutions
- Communication versatility: Strong interpersonal skills with the ability to move between technical and non-technical terminology depending on your audience
- Intellectual curiosity: Natural curiosity that drives you to dig deeper to find the bigger picture and openness to learning new technologies
- Client-focused mindset: Strong relationship-building skills across teams and functions to gain trust and advance business objectives
- Humility and teamwork: Willingness to contribute to the team, putting ego aside, with enthusiasm for helping others succeed
- Adaptability: Comfort with ambiguous data and flexibility in dynamic environments
Preferred Qualifications
- Experience using web frameworks (Django) and JavaScript libraries (ReactJS, jQuery) to build efficient frontend and backend web applications focused on user experience
- Experience implementing Docker containers for application deployment and scaling
- Experience with streaming data platforms and real-time analytics
- Background in media, entertainment, or advertising analytics
- Advanced degree in Statistics, Mathematics, or Computer Science
What We Offer
Compensation and Benefits
- Competitive hourly rate: $25/hour with opportunities for overtime
- Comprehensive health coverage: Medical, dental, and vision insurance for you and your family
- Retirement savings: 401(k) plan with company matching
- Paid time off: Generous vacation, sick leave, and holiday policies
- Professional development: Continuous learning opportunities, conferences, and training programs
Work Environment and Culture
At arenaflex, we foster a collaborative and innovative work environment where every team member's contribution matters. We embrace diversity and believe that different perspectives drive creativity and excellence. Our culture values curiosity, integrity, and a commitment to delivering exceptional results.
We offer flexible work arrangements to support work-life balance, including remote work options where applicable. Our offices are designed to inspire creativity and collaboration, with state-of-the-art facilities and amenities that make coming to work a pleasure.
Career Growth Opportunities
Joining arenaflex means becoming part of a team that invests in your professional development. We offer clear career progression paths, mentorship programs, and opportunities to work on challenging projects that expand your skills. As you grow with us, you'll have the chance to take on increased responsibilities, lead innovative initiatives, and shape the future of data science at arenaflex.
Join Our Team
If you're passionate about data, thrive on solving complex problems, and want to be part of a team that's reshaping the entertainment industry, we want to hear from you! Apply now to join arenaflex and help us turn data into magic.
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.